一级黄色片免费播放|中国黄色视频播放片|日本三级a|可以直接考播黄片影视免费一级毛片

高級搜索

留言板

尊敬的讀者、作者、審稿人, 關于本刊的投稿、審稿、編輯和出版的任何問題, 您可以本頁添加留言。我們將盡快給您答復。謝謝您的支持!

姓名
郵箱
手機號碼
標題
留言內容
驗證碼

適用于無線傳感器網(wǎng)絡的層次化分布式壓縮感知

程銀波 司菁菁 候肖蘭

程銀波, 司菁菁, 候肖蘭. 適用于無線傳感器網(wǎng)絡的層次化分布式壓縮感知[J]. 電子與信息學報, 2017, 39(3): 539-545. doi: 10.11999/JEIT160439
引用本文: 程銀波, 司菁菁, 候肖蘭. 適用于無線傳感器網(wǎng)絡的層次化分布式壓縮感知[J]. 電子與信息學報, 2017, 39(3): 539-545. doi: 10.11999/JEIT160439
CHENG Yinbo, SI Jingjing, HOU Xiaolan. Hierarchical Distributed Compressed Sensing for Wireless Sensor Network[J]. Journal of Electronics & Information Technology, 2017, 39(3): 539-545. doi: 10.11999/JEIT160439
Citation: CHENG Yinbo, SI Jingjing, HOU Xiaolan. Hierarchical Distributed Compressed Sensing for Wireless Sensor Network[J]. Journal of Electronics & Information Technology, 2017, 39(3): 539-545. doi: 10.11999/JEIT160439

適用于無線傳感器網(wǎng)絡的層次化分布式壓縮感知

doi: 10.11999/JEIT160439
基金項目: 

國家自然科學基金(61471313, 61303128),河北省自然科學基金(F2014203183),燕山大學青年教師自主研究計劃課題(13LGB015),秦皇島市科學技術研究與發(fā)展計劃(201602A031)

Hierarchical Distributed Compressed Sensing for Wireless Sensor Network

Funds: 

The National Natural Science Foundation of China (61471313, 61303128), The Natural Science Foundation of Hebei Province (F2014203183), The Youth Foundation of Yanshan University (13LGB015), The Science and Technology Plan of Qinhuangdao (201602A031)

  • 摘要: 分布式壓縮感知(Distributed Compressed Sensing, DCS)是在無線傳感器網(wǎng)絡(Wireless Sensor Network, WSN)中減少數(shù)據(jù)傳輸量、降低能量消耗的有效手段。該文面向分簇WSN,提出層次化分布式壓縮感知(Hierarchical Distributed Compressed Sensing, HDCS)。在利用簇內DCS消除簇內時間、空間冗余的基礎上,利用簇間DCS消除簇間空間冗余,減少簇頭的數(shù)據(jù)發(fā)送量。針對分簇WSN采集信號的結構化稀疏特性,建立塊稀疏簇內聯(lián)合稀疏模型與塊稀疏簇間聯(lián)合稀疏模型,提出HDCS觀測方案與層次化聯(lián)合重構算法。仿真結果表明,與普通DCS相比,HDCS在保證重建信號質量的同時,能夠有效減輕簇頭的通信負擔,并顯著降低Sink上的信號重構時間。
  • CHEN H, SHI Q, TAN R, et al. Mobile element assisted cooperative localization for wireless sensor networks with obstacles[J]. IEEE Transactions on Wireless Communications, 2010, 9(3): 956-963. doi: 10.1109/TWC. 2010.03.090706.
    CHEN H, GAO F, MARTINS M, et al. Accurate and efficient node localization for mobile sensor networks[J]. ACM Mobile Networks and Applications, 2013, (18): 141-147. doi: 10.1007/s11036-012-0361-7.
    PRASATH K and SHANKAR T. RMCHS: ridge method based cluster head selection for energy efficient clustering hierarchy protocol in WSN[C]. Proceedings of International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials, Chennai, India, 2015: 64-70.
    唐宏, 王惠珠. 基于無線信號不規(guī)則性的無線傳感網(wǎng)層次型拓撲控制算法[J]. 電子與信息學報, 2015, 37(9): 2246-2253. doi: 10.11999/JEIT141626.
    TANG Hong and WANG Huizhu. Wireless signal irregularity based hierarchical topology control algorithm for wireless sensor networks[J]. Journal of Electronics Information Technology, 2015, 37(9): 2246-2253. doi: 10.11999/ JEIT141626.
    DONOHO D. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306. doi: 10.1109/ TIT.2006.871582.
    BARON D, DUARTE M, SARVOTHAM S, et al. An information-theoretic approach to distributed compressed sensing[C]. Proceedings of the 43rd Allerton Conference on Communication, Control, and Computing, Monticello, USA, 2005: 814-825.
    NGUYEN M and RAHNAVARD N. Cluster-based energy- efficient data collection in wireless sensor networks utilizing compressive sensing[C]. Proceedings of IEEE Military Communication Conference, San Diego, USA, 2013: 1708-1713.
    XIE R and JIA X. Transmission-efficient clustering method for wireless sensor networks using compressive sensing[J]. IEEE Transactions on Parallel and Distributed Systems, 2014, 25(3): 806-815. doi: 10.1109/TPDS.2013.90.
    NGUYEN M, TEAGUE K, and RAHNAVARD N. Inter- cluster multi-hop routing in wireless sensor networks employing compressive sensing[C]. Proceedings of IEEE Military Communication Conference, Baltimore, USA, 2014: 1133-1138.
    XU X, ANSARI R, KHOKHAR A, et al. Hierarchical data aggregation using compressive sensing(HDACS) in WSNs[J]. ACM Transactions on Sensor Networks, 2015, 11(3): 1-25. doi: 10.1145/2700264.
    LIU D, ZHOU Q, ZHANG Z, et al. Cluster-based energy- efficient transmission using a new hybrid compressed sensing in WSN[C]. Proceedings of IEEE Conference on Computer Communications Workshops, San Francisco, USA, 2016: 372-376.
    ELDAR Y, KUPPINGER P, and BOLCSKEI H. Block- sparse signals: Uncertainty relations and efficient recovery[J]. IEEE Transactions on Signal Processing, 2010, 58(6): 3042-3054. doi: 10.1109/TSP.2010.2044837.
    SUNDMAN D, CHATTERJEE S, and SKOGLUND M. Distributed greedy pursuit algorithms[J]. Signal Processing, 2014, 105(12): 298-315. doi: 10.1016/j.sigpro.2014.05.027.
    司菁菁, 候肖蘭, 程銀波. 基于塊剪枝多路徑匹配追蹤的多信號聯(lián)合重構[J]. 系統(tǒng)工程與電子技術, 2016, 38(9): 1993-1999. doi: 10.3969/j.issn.1001-506X.2016.09.05.
    SI Jingjing, HOU Xiaolan, and CHENG Yinbo. Joint multi-signal reconstruction based on block pruning multipath matching pursuit[J]. Systems Engineering and Electronics, 2016, 38(9): 1993-1999. doi: 10.3969/j.issn.1001-506X.2016. 09.05.
    CHEN H, LIU B, HUANG P, et al. Mobility-assisted node localization based on TOA measurements without time synchronization in wireless sensor networks[J]. ACM Mobile Networks and Applications, 2012, 17(1): 90-99. doi: 10.1007/s11036-010-0281-3.
    CHEN H, WANG G, WANG Z, et al. Non-line-of-sight node localization based on semi-definite programming in wireless sensor networks[J]. IEEE Transactions on Wireless Communications, 2012, 11(1): 108-116. doi: 10.1109/TWC. 2011.110811.101739.
  • 加載中
計量
  • 文章訪問數(shù):  1344
  • HTML全文瀏覽量:  166
  • PDF下載量:  584
  • 被引次數(shù): 0
出版歷程
  • 收稿日期:  2016-05-03
  • 修回日期:  2016-11-23
  • 刊出日期:  2017-03-19

目錄

    /

    返回文章
    返回